Literature DB >> 19587276

Individual differences in true and false memory retrieval are related to white matter brain microstructure.

Lluís Fuentemilla1, Estela Càmara, Thomas F Münte, Ulrike M Krämer, Toni Cunillera, Josep Marco-Pallarés, Claus Tempelmann, Antoni Rodriguez-Fornells.   

Abstract

We sometimes vividly remember things that did not happen, a phenomenon with general relevance, not only in the courtroom. It is unclear to what extent individual differences in false memories are driven by anatomical differences in memory-relevant brain regions. Here we show in humans that microstructural properties of different white matter tracts as quantified using diffusion tensor imaging are strongly correlated with true and false memory retrieval. To investigate these hypotheses, we tested a large group of participants in a version of the Deese-Roediger-McDermott paradigm (recall and recognition) and subsequently obtained diffusion tensor images. A voxel-based whole-brain level linear regression analysis was performed to relate fractional anisotropy to indices of true and false memory recall and recognition. True memory was correlated to diffusion anisotropy in the inferior longitudinal fascicle, the major connective pathway of the medial temporal lobe, whereas a greater proneness to retrieve false items was related to the superior longitudinal fascicle connecting frontoparietal structures. Our results show that individual differences in white matter microstructure underlie true and false memory performance.

Entities:  

Mesh:

Year:  2009        PMID: 19587276      PMCID: PMC6664882          DOI: 10.1523/JNEUROSCI.5270-08.2009

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  12 in total

1.  The false memory syndrome: experimental studies and comparison to confabulations.

Authors:  M F Mendez; I A Fras
Journal:  Med Hypotheses       Date:  2010-12-21       Impact factor: 1.538

Review 2.  False memories and fantastic beliefs: 15 years of the DRM illusion.

Authors:  David A Gallo
Journal:  Mem Cognit       Date:  2010-10

3.  Fiber density between rhinal cortex and activated ventrolateral prefrontal regions predicts episodic memory performance in humans.

Authors:  Björn H Schott; Christoph Niklas; Jörn Kaufmann; Nils C Bodammer; Judith Machts; Hartmut Schütze; Emrah Düzel
Journal:  Proc Natl Acad Sci U S A       Date:  2011-03-14       Impact factor: 11.205

Review 4.  Neurophysiological mechanisms involved in language learning in adults.

Authors:  Antoni Rodríguez-Fornells; Toni Cunillera; Anna Mestres-Missé; Ruth de Diego-Balaguer
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-12-27       Impact factor: 6.237

5.  Relevance of structural brain connectivity to learning and recovery from stroke.

Authors:  Heidi Johansen-Berg; Jan Scholz; Charlotte J Stagg
Journal:  Front Syst Neurosci       Date:  2010-11-02

6.  Fornix white matter microstructure differentially predicts false recollection rates in older and younger adults.

Authors:  Jordan D Chamberlain; Indira C Turney; Jordan T Goodman; Jonathan G Hakun; Nancy A Dennis
Journal:  Neuropsychologia       Date:  2021-04-07       Impact factor: 3.054

7.  White matter microstructure between the pre-SMA and the cingulum bundle is related to response conflict in healthy subjects.

Authors:  Maeri Yamamoto; Itaru Kushima; Hiroki Kimura; Akiko Hayashi; Naoko Kawano; Branko Aleksic; Tetsuya Iidaka; Norio Ozaki
Journal:  Brain Behav       Date:  2015-09-23       Impact factor: 2.708

8.  Telling true from false: cannabis users show increased susceptibility to false memories.

Authors:  J Riba; M Valle; F Sampedro; A Rodríguez-Pujadas; S Martínez-Horta; J Kulisevsky; A Rodríguez-Fornells
Journal:  Mol Psychiatry       Date:  2015-03-31       Impact factor: 15.992

9.  Relating introspective accuracy to individual differences in brain structure.

Authors:  Stephen M Fleming; Rimona S Weil; Zoltan Nagy; Raymond J Dolan; Geraint Rees
Journal:  Science       Date:  2010-09-17       Impact factor: 47.728

10.  Recognition of face-name associations after errorless and errorful learning: an fMRI study.

Authors:  Anke Hammer; Claus Tempelmann; Thomas F Münte
Journal:  BMC Neurosci       Date:  2013-03-13       Impact factor: 3.288

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.